One of the exciting new frontiers for R programming is of creating website interfaces to R code. At the forefront of this domain is a young and (very) bright man called Jeroen Ooms, whom I had the pleasure of meeting at useR 2009 (press the link to see his presentation).
New features include 1D geom’s (histogram, density, freqpoly), syntax mode (by clicking the tiny arrow at the bottom), and some additional facet options. And some minor improvements and fixes, most notably for Internet Explorer. The data upload has not been improved yet, I am working on that. For now, it supports .csv, .sav (spss), and tab delimited data. Please make sure your filename has the appropriate extension and every column has a header in your data. If you export a dataframe from R, use: write.csv(mydf, ”mydf.csv” , row.names=F). If you upload an spss datafile, none of this should be a concern. Supported browsers are IE6-8, FF, Safari, and Chrome, but a recent browser is highly recommended. As always, feedback is more than welcome.
Here is a little demo video that shows how to use the new features:
I recently encountered some functionality in R which most of you might already know. Nevertheless, I want to share it here, because it might come in handy for those of you who do not know this yet.Suppose you want to read in a large number of very large text tables in R. There is the great function fread() in the data.table package, which is really fast in r […]
A guest post by Jeff Hemsley, who has co-authored with Karine Nahon a new book titled Going Viral. ————————- In Going Viral (Polity Press, 2013) we explore the topic of virality, the process of sharing messages that results in a fast, broad …Read more »
(This article was first published on Jeromy Anglim's Blog: Psychology and Statistics, and kindly contributed to R-bloggers) The following post replicates some of the standard output you might get from a multiple regression analysis in SPSS. A copy of the code in RMarkdown format is available on github. The post was motivated by this previous post that d […]
Coursera – an online education startup – has rapidly expanded its curriculum of statistics and data analysis courses. Today, there are already 33 modules directly linked to the field, excluding the courses where statistics and data science are solely used as a supportive tool (e.g. finance). These courses make use of multiple statistical software packages [… […]
In a live webinar today hosted by Alteryx, five industry experts shared 14 analytics predictions for 2014. The panel included Paul Ross (Alteryx), Charles Zedlewski (Cloudera), Rick Schultz (Alteryx), Ellie Fields (Tableau) and Michele Chambers (Revolution Analytics). Their predictions were: Analysts will matter more than data scientists R will replace legac […]
We have written a bit on sample size for common events. We would like to extend this analysis to rare events. In web marketing and a lot of other applications you are trying to estimate a probability of an event (like conversion) where the probability is fairly low (say 5% to 0.5%). In this case […] Related posts: A bit more on sample size Estimating rates f […]
Consumers will not complete long questionnaires, so marketing research must get the most it can from every item. In this post, we look into the toolbox of R packages and search for statistical models that enable us to learn a great deal about eac...
Today, we’re excited to announce the release of Shiny Server version 0.4 as well as the availability of a beta version of Shiny Server Professional Edition. Shiny Server is a platform for hosting Shiny Applications over the Web and has undergone substantial work in the past few months. We have fixed many bugs, added stability enhancements, […]